boxcox

这几项M文件提供了扫描仪如何识别电子标签的方法，在许多场合都会涉及到这一类的智能识别。(This document provides a number of M scanner how to identify methods of electronic tag, in many occasions, will relate to this type of intelligent identification.)

基于matlab来描述静电场的分布，基于matlab描述电偶极子的分布。(Matlab-based to describe the distribution of electrostatic field, matlab-based description of the distribution of electric dipole.)

列出求素数的程序，所谓素数就是只能被它的自身和1除尽的数(require a prime number)

遗传算法在无功优化的应用，电力系统潮流计算(Application of genetic algorithm in reactive power optimization)

《matlab实例》有关高阶谱分析工具的实例源码，希望对大家有帮助。(" Matlab example of" higher order spectral analysis tools, the example of source code, we want to help.)

偏微分方程的matlab实现。包括各种函数的调用的m文件(Partial differential equations in MATLAB implementation. Including all function calls m file )

说明：  platEMO是Ye Tian等学者写的一款基于MATLAB的多目标优化工具，为新入门的同学或者开发者提供了很大的便利，其今年已经发布到PlatEMO 2.0版本了。这款工具主要具有以下的几个特点： 1.完全由MATLAB开发，不需要任何其它库。 2.包括现有的90个流行的MOEAs，包括遗传算法、差分进化、粒子群优化、模因算法、分布估计算法和基于代理模型的算法。其中大多数是2010年以后在顶级期刊上发表的代表性算法。 3.用户可以显示各种图形，包括结果的pareto front，真实的pareto front等等。 4.强大友好的GUI，可以不用编辑任何代码。 5.可以直接生成Excel或者LaTex。(PlaEMO is a multi-objective optimization tool based on MATLAB written by Ye Tian and other scholars. It is a great convenience for beginners or developers. It has been released to PlatEMO version 2.0 this year. This tool has the following characteristics: 1. Developed entirely by MATLAB without any other libraries. 2. Including 90 popular MOEAs, including genetic algorithm, differential evolution, particle swarm optimization, meme algorithm, distribution estimation algorithm and proxy model-based algorithm. Most of them are representative algorithms published in top journals after 2010. 3. Users can display various graphics, including Pareto front, real Pareto front and so on. 4. Powerful and friendly GUI, you can edit no code. 5. Excel or LaTex can be generated directly.)

是关于C4.5算法，里面有C4.5的一些MATLAB所用的知识类容(it is ablout C4.5)

non linear optimization technic

这是中心近邻分类器的算法，采用的算子是LBP，数据库采用的是CK数据库。(This is the center of neighbor classifier algorithm, is the LBP operator is used, the database USES a CK database. )